Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

Research publications are the major repository of scientific knowledge. However, their
unstructured and highly heterogenous format creates a significant obstacle to large-scale …

Handwritten mathematical expression recognition (HMER) is a challenging task that has
many potential applications. Recent methods for HMER have achieved outstanding …

We summarize the tasks, protocol, and outcome for the 6th Competition on Recognition of
Handwritten Mathematical Expressions (CROHME), which includes a new formula detection …

Recognition of handwritten mathematical expressions (MEs) is an important problem that
has wide applications in practice. Handwritten ME recognition is challenging due to the …

This paper presents an overview of the 5th Competition on Recognition of Online
Handwritten Mathematical Expressions (CROHME). As in previous years, the main task is …

In this paper, we introduce Track, Attend, and Parse (TAP), an end-to-end approach based
on neural networks for online handwritten mathematical expression recognition (OHMER) …

Recognition of handwritten mathematical expressions (HMEs) has attracted growing interest
due to steady progress in handwriting recognition techniques and the rapid emergence of …

Recent encoder-decoder approaches typically employ string decoders to convert images
into serialized strings for image-to-markup. However, for tree-structured representational …

The development of a materials synthesis route is usually based on heuristics and
experience. A possible new approach would be to apply data-driven approaches to learn …